Pierre Baudot
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Functional Brain Connectivity Studies
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Neurobiology and Insect Physiology Research
- Photoreceptor and optogenetics research
Papers in
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- Neural dynamics and brain function 11
- Visual perception and processing mechanisms 6
- Functional Brain Connectivity Studies 2
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- Retinal Development and Disorders 2
- Co-authors
- Yves Frégnac (8 shared papers)Cyril Monier (6 shared papers)Frédéric Chavane (4 shared papers)Lyle J. Graham (2 shared papers)Daniel Bennequin (2 shared papers)Olivier Marre (3 shared papers)Andrea Menegon (1 shared paper)Ferran Burgaya (1 shared paper)
In The Last Decade
Pierre Baudot
19 papers receiving 608 citations
Peers
Comparison fields: 5 of 74
- Cognitive Neuroscience 441
- Cellular and Molecular Neuroscience 316
- Immunology and Allergy 26
- Biophysics 26
- Statistical and Nonlinear Physics 42
Countries citing papers authored by Pierre Baudot
This map shows the geographic impact of Pierre Baudot's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pierre Baudot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Baudot more than expected).
Fields of papers citing papers by Pierre Baudot
This network shows the impact of papers produced by Pierre Baudot. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pierre Baudot. The network helps show where Pierre Baudot may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Baudot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 295 | |
| 2 | 1999 | 78 | |
| 3 | 2009 | 58 | |
| 4 | 2013 | 37 | |
| 5 | 2000 | 30 | |
| 6 | 2015 | 29 | |
| 7 | 2003 | 28 | |
| 8 | 2018 | 22 | |
| 9 | 1983 | 19 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 4 | |
| 12 | 2013 | 3 | |
| 13 | 2015 | 3 | |
| 14 | 2025 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2010 | 1 | |
| 19 | 2009 | 1 | |
| 20 | 2024 | 0 |
About Pierre Baudot
Pierre Baudot is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Sociology and Political Science and Computational Theory and Mathematics, having authored 20 papers that have together received 616 indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Visual perception and processing mechanisms (6 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Functional Brain Connectivity Studies (2 papers), Neurobiology and Insect Physiology Research (2 papers), Retinal Development and Disorders (2 papers), Photoreceptor and optogenetics research (2 papers) and Social Policies and Family (2 papers). The work is most often cited by research in Cognitive Neuroscience (441 citations), Cellular and Molecular Neuroscience (316 citations), Immunology and Allergy (26 citations), Biophysics (26 citations) and Statistical and Nonlinear Physics (42 citations). Pierre Baudot has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Yves Frégnac, Cyril Monier, Frédéric Chavane, Lyle J. Graham, Daniel Bennequin, Olivier Marre, Andrea Menegon, Ferran Burgaya, Flavia Valtorta and Jean‐Antoine Girault. Their work appears in journals such as Journal of Physiology-Paris, Scientific Reports, PLoS ONE, Frontiers in Neural Circuits and Transplantation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.